Abstract
Purpose: To investigate the accuracy and efficiency of bedside ultrasonography application performed by certified sonographer in emergency patients with blunt abdominal trauma.Methods: The study was carried out from 2017 to 2019.Findings in operations or on computed tomography (CT) were used as references to evaluate the accuracy of bedside abdominal ultrasonography.The time needed for bedside abdominal ultrasonography or CT examination was collected separately to evaluate the efficiency of bedside abdominal ultrasonography application.Results: Bedside abdominal ultrasonography was performed in 106 patients with blunt abdominal trauma,of which 71 critical patients received surgery.The overall diagnostic accordance rate was 88.68％.The diagnostic accordance rate for liver injury,spleen injury,kidney injury,gut perforation,retroperitoneal hematoma and multiple abdominal organ injury were 100％,94.73％,94.12％,20.00％,100％ and g1.48％,respectively.Among the 71 critical patients,the diagnostic accordance rate was 94.37％,in which the diagnostic accordance rate for liver injury,spleen injury,kidney injury,gut perforation and multiple abdominal organ injury were 100％,100％,100％,20.00％ and 100％.The mean time for imaging examination of bedside abdominal ultrasonography was longer than that for CT scan (4.45 ± 1.63 vs.2.38 ± 1.19) min;however,the mean waiting time before examination (7.37 ± 2.01 vs.16.42 ± 6.37) min,the time to make a diagnostic report (6.42 ± 3.35 vs.36.26 ± 13.33) min,and the overall time (17.24 ± 2.33 vs.55.06 ± 6.96) min were shorter for bedside abdominal ultrasonography than for CT scan.Conclusion: Bedside ultrasonography application provides both efficiency and reliability for the assessment of blunt abdominal trauma.Especially for patients with free peritoneal effusion and critical patients,bedside ultrasonography has been proved obvious advantageous.However,for negative bedside ultrasonography patients with blunt abdominal trauma,we recommend further abdominal CT scan or serial ultrasonography scans subsequently.
基金项目
This work was supported by grants from the National Natural Science Foundation for Youth of China(81301237)
NETL
NSTL
维普
万方数据